A Note on Bayesian Stability and Bayesian Efficiency

Yi-Chun Chen, Gaoji Hu
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Abstract

In this paper, we extend the stability notion and Bayesian efficiency notion of Liu (2020) to local ones, as well as his result—that under certain intuitive conditions, stable matchings are Bayesian efficient—to an analogous one for local notions. Furthermore, the extended stability notion, and thus Liu’s notion, admits a decentralized foundation via an adaptive matching process.
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关于贝叶斯稳定性和贝叶斯效率的注解
在本文中,我们将Liu(2020)的稳定性概念和贝叶斯效率概念推广到局部概念,并将他的结果——在某些直观条件下,稳定匹配是贝叶斯效率的——推广到局部概念的类似结果。此外,扩展稳定性概念,以及Liu的概念,通过自适应匹配过程承认了一个去中心化的基础。
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